Skip to main content

REVIEW article

Front. Educ.
Sec. Digital Learning Innovations
Volume 9 - 2024 | doi: 10.3389/feduc.2024.1424386
This article is part of the Research Topic Artificial intelligence (AI) in the complexity of the present and future of education: research and applications View all 6 articles

Bayly-Castaneda, K, Ramirez-Montoya, MS, Morita-Alexander, A., (2024). Crafting Personalized Learning Paths with AI for Lifelong Learning: A Systematic Literature Review, Frontiers in Education. Crafting Personalized Learning Paths with AI for Lifelong Learning: A Systematic Literature Review

Provisionally accepted
Karla Bayly-Castaneda Karla Bayly-Castaneda 1,2*Maria-Soledad Ramirez-Montoya Maria-Soledad Ramirez-Montoya 3*Adelina Morita-Alexander Adelina Morita-Alexander 2
  • 1 Monterrey Institute of Technology and Higher Education (ITESM), Monterrey, Mexico
  • 2 Faculty of Informatics, Autonomous University of Querétaro, Juriquilla, Querétaro, Mexico
  • 3 EGADE Business School, Technological of Monterrey, Monterrey, México, Mexico

The final, formatted version of the article will be published soon.

    The rapid evolution of knowledge requires constantly acquiring and updating skills, making lifelong learning crucial. Despite decades of artificial intelligence, recent advances promote new solutions to personalize learning in this context. The purpose of this article is to explore the current state of research on the development of artificial intelligence-mediated solutions for the design of personalized learning paths. To achieve this, a systematic literature review (SRL) of 78 articles published between 2019 and 2024 from the Scopus and Web or Science databases was conducted, answering seven questions grouped into three themes: characteristics of the published research, context of the research, and type of solution analyzed. This study identified that: a) the greatest production of scientific research on the topic is developed in China, India and the United States, b) the focus is mainly directed towards the educational context at the higher education level with areas of opportunity for application in the work context, and c) the development of adaptive learning technologies predominates; however, there is a growing interest in the application of generative language models. This article contributes to the growing interest and literature related to personalized learning under artificial intelligence mediated solutions that will serve as a basis for academic institutions and organizations to design programs under this model.

    Keywords: Personalized learning paths, Lifelong learning, artificial intelligence, Educational innovation, higher education

    Received: 28 Apr 2024; Accepted: 30 Jul 2024.

    Copyright: © 2024 Bayly-Castaneda, Ramirez-Montoya and Morita-Alexander. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Karla Bayly-Castaneda, Monterrey Institute of Technology and Higher Education (ITESM), Monterrey, Mexico
    Maria-Soledad Ramirez-Montoya, EGADE Business School, Technological of Monterrey, Monterrey, México, Mexico

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.